TY - GEN
T1 - Edge chaining framework for black ice road fingerprinting
AU - Cozzolino, Vittorio
AU - Ding, Aaron Yi
AU - Ott, Jörg
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/3/25
Y1 - 2019/3/25
N2 - Detecting and reacting efficiently to road condition hazards are challenging given practical restrictions such as limited data availability and lack of infrastructure support. In this paper, we present an edge-cloud chaining solution that bridges the cloud and road infrastructures to enhance road safety. We exploit the roadside infrastructure (e.g., smart lampposts) to form a processing chain at the edge nodes and transmit the essential context to approaching vehicles providing what we refer as road fingerprinting. We approach the problem from two angles: first we focus on semantically defining how an execution pipeline spanning edge and cloud is composed, then we design, implement and evaluate a working prototype based on our assumptions. In addition, we present experimental insights and outline open challenges for next steps.
AB - Detecting and reacting efficiently to road condition hazards are challenging given practical restrictions such as limited data availability and lack of infrastructure support. In this paper, we present an edge-cloud chaining solution that bridges the cloud and road infrastructures to enhance road safety. We exploit the roadside infrastructure (e.g., smart lampposts) to form a processing chain at the edge nodes and transmit the essential context to approaching vehicles providing what we refer as road fingerprinting. We approach the problem from two angles: first we focus on semantically defining how an execution pipeline spanning edge and cloud is composed, then we design, implement and evaluate a working prototype based on our assumptions. In addition, we present experimental insights and outline open challenges for next steps.
KW - Distributed systems
KW - Edge computing
KW - IoT
UR - http://www.scopus.com/inward/record.url?scp=85063908669&partnerID=8YFLogxK
U2 - 10.1145/3301418.3313944
DO - 10.1145/3301418.3313944
M3 - Conference contribution
AN - SCOPUS:85063908669
T3 - EdgeSys 2019 - Proceedings of the 2nd ACM International Workshop on Edge Systems, Analytics and Networking, Part of EuroSys 2019
SP - 42
EP - 47
BT - EdgeSys 2019 - Proceedings of the 2nd ACM International Workshop on Edge Systems, Analytics and Networking, Part of EuroSys 2019
PB - Association for Computing Machinery, Inc
T2 - 2nd ACM International Workshop on Edge Systems, Analytics and Networking, EdgeSys 2019, Part of EuroSys 2019
Y2 - 25 March 2019 through 25 March 2019
ER -